The Client Project
A data analytics company needed to design and build a web platform serving as a central hub for tracking organizational goals, KPIs, and performance metrics. The platform aimed to include AI and LLM features to support intelligent metric insights and automation. The overall goal was to empower better decision-making through real-time data visibility and interactive dashboards.
Requirements
- Build a responsive, role-based web platform to manage user accounts, goals, and metrics.
- Integrate OpenAI for smart suggestions and metric interpretation.
- Implement a cloud-based backend using scalable AWS services.
- Ensure clean architecture, secure APIs, and CI/CD pipelines for continuous delivery.
Implemented Services
- Developed the frontend in Next.js with TypeScript, Tailwind CSS, and Shadcn UI components for a smooth UX in managing KPIs.
- Built the backend with Nest.js (Node.js/Express) following a clean architecture pattern, packaged in Docker containers for consistency.
- Integrated OpenAI APIs to enable future AI-driven metric assistance (e.g. natural language queries and smart alerts).
- Deployed on AWS infrastructure, ensuring a scalable, highly-available, and secure environment.
Our Tech Stack
OpenAI API
Next.js
TypeScript
Shadcn-ui
Tailwind CSS
Nest JS
Mongo DB
AWS EC2
AWS ECR
AWS VPC
AWS ELB
CodePipeline
DocumentDB
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The Results
We achieved a functional MVP with full account management, goal-setting, role-based permissions, and interactive performance dashboards in under 550 hours of development and a foundation for future AI-driven analytics and real-time performance coaching (the OpenAI integration points are in place to expand on intelligent insights)
Now their KPI systems can achieve significantly higher performance outcomes.
